shashi kumar

Cloud & Pipeline Engineer

• Job Details:Designed and deployed scalable cloud rendering pipelines for indie animation studios using Blender CLI, Azure Batch, and AWS Lambda, enabling cost-efficient, on-demand compute resource management. Developed Python-based ETL frameworks that automated extraction, transformation, and loading of metadata from VFX file formats into Snowflake and Azure SQL for analytics. Created custom APIs and serverless functions to integrate disparate pipeline tools.

Data & VFX Workflow Engineer

• Job Details:Designed and implemented end-to-end data pipelines using Python, SQL, and Snowflake to capture, process, and analyze FX simulation metadata and production metrics. Automated Blender-based render jobs with Azure Batch, creating scalable cloud render farms that reduced on-premise hardware dependency by 40%. Developed Python scripts for automated asset syncing between local storage and Azure Blob Storage.

Pipeline Developer / Technical Artist

• Job Details:Developed cross-platform pipeline automation tools using Python, PyQt, and JSON/XML to streamline asset transfers and version control across modeling, rigging, and lighting departments. Integrated Shotgun Toolkit into daily production workflows, customizing task templates and automating shot status updates.